Metadata-Version: 2.4
Name: scatterd
Version: 1.3.9
Summary: scatterd is an easy and fast way of creating beautiful scatter plots.
Author-email: Erdogan Taskesen <erdogant@gmail.com>
License: MIT License
        
        Copyright (c) 2020 Erdogan Taskesen
        scatterd - Python package
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
        
Project-URL: Homepage, https://erdogant.github.io/scatterd
Project-URL: Download, https://github.com/erdogant/scatterd/archive/{version}.tar.gz
Keywords: Python,
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: colourmap>=1.1.19
Requires-Dist: seaborn
Dynamic: license-file

# scatterd

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* ``scatterd`` is a python package to creating scatter plots in a easy and fast manner.
# 
**⭐️ Star this repo if you like it ⭐️**
#

#### Install scatterd from PyPI

```bash
pip install scatterd
```

#### Import scatterd package

```python
from scatterd import scatterd
```
# 


### [Documentation pages](https://erdogant.github.io/scatterd/)

On the [documentation pages](https://erdogant.github.io/scatterd/) you can find detailed information about the working of the ``scatterd`` with many examples. 

<hr> 

### Examples

# 

* [Example: Quick scatterplot](https://erdogant.github.io/scatterd/pages/html/Examples.html#)

<p align="left">
  <a href="https://erdogant.github.io/scatterd/pages/html/Examples.html#">
  <img src="https://github.com/erdogant/scatterd/blob/master/docs/figs/fig1_simple.png" width="600" />
  </a>
</p>

# 

* [Example: Coloring Dots](https://erdogant.github.io/scatterd/pages/html/Examples.html#coloring-dots)

<p align="left">
  <a href="https://erdogant.github.io/scatterd/pages/html/Examples.html#coloring-dots">
  <img src="https://github.com/erdogant/scatterd/blob/master/docs/figs/fig2_red.png" width="600" />
  </a>
</p>


# 

* [Example: Overlay with Kernel Density](https://erdogant.github.io/scatterd/pages/html/Examples.html#overlay-with-kernel-density)

<p align="left">
  <a href="https://erdogant.github.io/scatterd/pages/html/Examples.html#overlay-with-kernel-density">
  <img src="https://github.com/erdogant/scatterd/blob/master/docs/figs/fig_density_4.png" width="600" />
  </a>
</p>


# 

* [Example: Dark scatterplot](https://erdogant.github.io/scatterd/pages/html/Examples.html#customized-colormap)

<p align="left">
  <a href="https://erdogant.github.io/scatterd/pages/html/Examples.html#customized-colormap">
  <img src="https://github.com/erdogant/scatterd/blob/master/docs/figs/custom_args.png" width="600" />
  </a>
</p>

<hr>

### Support

	This project needs some love! ❤️ You can help in various ways.

	* Become a Sponsor!
	* Star this repo at the github page.
	* Other contributions can be in the form of feature requests, idea discussions, reporting bugs, opening pull requests.
	* Read more why becoming an sponsor is important on the Sponsor Github Page.
	
	Cheers Mate.
